Medical Image Processing

The digital processing of medical images poses an ongoing challange for computer science. The cause for this are the high technical and mathematical demands that arise from the required accuracy and reliability in medical systems. More and more complex problems and increased amount of available data motivate the investigation in the field of knowledge-based image analysis where semantic models for object recognition are developed.

Our focus of activities is the following:

  • Feature extraction
  • Modeling of knowledge databases / semantic networks
  • Development of classifiers
  • Setup of test databases
  • Validation of results

The University of Koblenz and Landau regularly offers a course on medical image processing given by Prof. Dr.-Ing. Dietrich Paulus.

Staff

 

Projects

Literature

Buzug2004EID
Buzug, Thorsten M. (2004): Einführung in die Computertomographie. Springer Verlag Berlin Heidelberg.

Green2002MIP
Green, James A. (2002): Medical Image Processing. Greenwood Research Books & Software.

Paulus1999AKB
Paulus, Dietrich; Ahlrichs, Ulrike; Heigl, Benno; Denzler, Joachim; Hornegger, Joachim; Niemann, Heinrich (1999): Active Knowledge Based Scene Analysis. In: Christensen, H: Computer Vision Systems. Heidelberg: Springer Verlag. S. 180-199.

Sagerer1997SNF
Sagerer, G.; Niemann, Heinrich (1997): Semantic Networks for Understanding Scenes. New York and London: Plenum Press.

Sagerer1985DUN
Sagerer, G. (1985): Darstellung und Nutzung von Expertenwissen für ein Bildanalysesystem. Berlin: Springer.

Ballard1982CV
Ballard, Dana H.; Brown, Chris. M. (1982): Computer Vision. Englewood Cliffs, NJ: Prentice-Hall.

zuletzt verändert: 02.08.2010 13:50

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